Prodigy AI

Prodigy AI's Overview

Prodigy is an annotation tool for AI, Machine Learning, and NLP. It is designed to streamline the data annotation process and enable rapid iteration in training AI models. With Prodigy, data scientists can annotate examples themselves, allowing for a more agile approach to data collection. The tool utilizes active learning, only asking users to annotate examples that the model does not already know the answer to. Prodigy is powerful, extensible, and follows modern UX principles. It supports various annotation tasks such as named entity recognition, span categorization, text classification, dependencies and relations, computer vision, audio and video labeling, and more. Prodigy users can try out new ideas quickly, as the tool allows for fast prototyping and easy transition from prototype to production. It is fully scriptable and integrates seamlessly with Python-based data science workflows. Prodigy also provides a rich Python API, command-line integration, and a Jupyter extension for increased productivity. Custom recipe scripts and models can be incorporated into Prodigy as well.

Prodigy AI's Features

• Named Entity Recognition

• Span Categorization

• Text Classification

Prodigy AI's Q&A

Prodigy AI's Pricing

For pricing details, please visit the Prodigy website.